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Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral Sclerosis.
Xiao, Lishun; Yuan, Zhongshang; Jin, Siyi; Wang, Ting; Huang, Shuiping; Zeng, Ping.
Afiliação
  • Xiao L; Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, China.
  • Yuan Z; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
  • Jin S; Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, China.
  • Wang T; Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, China.
  • Huang S; Department of Epidemiology and Biostatistics, Xuzhou Medical University, Xuzhou, China.
  • Zeng P; Center for Medical Statistics and Data Analysis, School of Public Health, Xuzhou Medical University, Xuzhou, China.
Front Genet ; 11: 587243, 2020.
Article em En | MEDLINE | ID: mdl-33329728
Genome-wide association studies (GWAS) have identified multiple causal genes associated with amyotrophic lateral sclerosis (ALS); however, the genetic architecture of ALS remains completely unknown and a large number of causal genes have yet been discovered. To full such gap in part, we implemented an integrative analysis of transcriptome-wide association study (TWAS) for ALS to prioritize causal genes with summary statistics from 80,610 European individuals and employed 13 GTEx brain tissues as reference transcriptome panels. The summary-level TWAS analysis with single brain tissue was first undertaken and then a flexible p-value combination strategy, called summary data-based Cauchy Aggregation TWAS (SCAT), was proposed to pool association signals from single-tissue TWAS analysis while protecting against highly positive correlation among tests. Extensive simulations demonstrated SCAT can produce well-calibrated p-value for the control of type I error and was often much more powerful to identify association signals across various scenarios compared with single-tissue TWAS analysis. Using SCAT, we replicated three ALS-associated genes (i.e., ATXN3, SCFD1, and C9orf72) identified in previous GWASs and discovered additional five genes (i.e., SLC9A8, FAM66D, TRIP11, JUP, and RP11-529H20.6) which were not reported before. Furthermore, we discovered the five associations were largely driven by genes themselves and thus might be new genes which were likely related to the risk of ALS. However, further investigations are warranted to verify these results and untangle the pathophysiological function of the genes in developing ALS.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article